datacommons-client
Data Commons Client
Overview
Provides comprehensive access to the Data Commons Python API v2 for querying statistical observations, exploring the knowledge graph, and resolving entity identifiers. Data Commons aggregates data from census bureaus, health organizations, environmental agencies, and other authoritative sources into a unified knowledge graph.
Routing Boundary
Use this skill when the user explicitly asks for Data Commons/datacommons, Data Commons statistical variables, Data Commons entities/DCIDs, or population/economic indicators that fit the Data Commons knowledge graph.
Generic public data, open data, public dataset search, or public download-link collection by itself is not enough to select this skill. Those requests need a clearer Data Commons/statistical-graph signal before this skill becomes the route owner.
Installation
Install the Data Commons Python client with Pandas support:
uv pip install "datacommons-client[Pandas]"
More from foryourhealth111-pixel/vibe-skills
ralph-loop
Codex-compatible Ralph loop runner with dual engines (compat local state loop + optional open-ralph-wiggum backend).
6clinical-reports
Write comprehensive clinical reports including case reports (CARE guidelines), diagnostic reports (radiology/pathology/lab), clinical trial reports (ICH-E3, SAE, CSR), and patient documentation (SOAP, H&P, discharge summaries). Full support with templates, regulatory compliance (HIPAA, FDA, ICH-GCP), and validation tools.
3polars
Fast in-memory DataFrame library for datasets that fit in RAM. Use when pandas is too slow but data still fits in memory. Lazy evaluation, parallel execution, Apache Arrow backend. Best for 1-100GB datasets, ETL pipelines, faster pandas replacement. For larger-than-RAM data use dask or vaex.
3lqf_machine_learning_expert_guide
|
2detecting-performance-regressions
|
2creating-data-visualizations
|
2